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  The model was built by fine-tuning [AraT5-v2](https://huggingface.co/UBC-NLP/AraT5v2-base-1024) on the [MADAR CODA](https://camel.abudhabi.nyu.edu/madar-coda-corpus/) dataset.
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  This model was trained with the DA Phrase Dialect Identification (DID) control token as we describe in our [paper](https://arxiv.org/abs/2407.03020).
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  Our fine-tuning procedure and the hyperparameters we used can be found in our paper *"[Exploiting Dialect Identification
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- in Automatic Dialectal Text Normalization](https://arxiv.org/abs/2407.03020)."* Our fine-tuning code and data can be found [here](https://github.com/CAMeL-Lab/codafication).
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  ## Intended uses
 
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  The model was built by fine-tuning [AraT5-v2](https://huggingface.co/UBC-NLP/AraT5v2-base-1024) on the [MADAR CODA](https://camel.abudhabi.nyu.edu/madar-coda-corpus/) dataset.
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  This model was trained with the DA Phrase Dialect Identification (DID) control token as we describe in our [paper](https://arxiv.org/abs/2407.03020).
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  Our fine-tuning procedure and the hyperparameters we used can be found in our paper *"[Exploiting Dialect Identification
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+ in Automatic Dialectal Text Normalization](https://arxiv.org/abs/2407.03020)"*. Our fine-tuning code and data can be found [here](https://github.com/CAMeL-Lab/codafication).
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  ## Intended uses